andygrove commented on PR #6940:
URL: 
https://github.com/apache/datafusion-comet/pull/6940#issuecomment-6453072491

   Thanks @parthchandra. I added the complex and temporal test you suggested, 
as `complex and temporal types are written through Hadoop` (4535d1e217). It 
keeps your shapes (an array of structs, a map with struct values, `DECIMAL(38, 
10)`, a timestamp and a timestamp_ntz, CJK text), checks the native write plan 
and the read-back, and also compares against Spark's own writer. One change: 
the date starts at `1600-01-01` instead of `0001-01-01`. On Spark 3.5 the 
`0001` dates make Spark's own writer fail with `WRITE_ANCIENT_DATETIME` before 
they reach Comet. The test passes on 3.5, 4.0 and 4.1.
   
   The merge with main (62a41cd340) also needed a fix: #7186 made 
`get_execution_context` return a `Result`, so `setOutputStream` now propagates 
it with `?` (cc74578fd5).


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